Publication result detail

Deep-learning-based fully automatic spine centerline detection in CT data

JAKUBÍČEK, R.; CHMELÍK, J.; OUŘEDNÍČEK, P.; JAN, J.

Original Title

Deep-learning-based fully automatic spine centerline detection in CT data

English Title

Deep-learning-based fully automatic spine centerline detection in CT data

Type

Paper in proceedings (conference paper)

Original Abstract

In this contribution, we present a fully automatic approach, that is based on two convolution neural networks (CNN) together with a spine tracing algorithm utilizing a population optimization algorithm. Based on the evaluation of 130 CT scans including heavily distorted and complicated cases, it turned out that this new combination enables fast and robust detection with almost 90% of correctly determined spinal centerlines with computing time of fewer than 20 seconds.

English abstract

In this contribution, we present a fully automatic approach, that is based on two convolution neural networks (CNN) together with a spine tracing algorithm utilizing a population optimization algorithm. Based on the evaluation of 130 CT scans including heavily distorted and complicated cases, it turned out that this new combination enables fast and robust detection with almost 90% of correctly determined spinal centerlines with computing time of fewer than 20 seconds.

Keywords

CT; spine centerline; machine learning

Key words in English

CT; spine centerline; machine learning

Authors

JAKUBÍČEK, R.; CHMELÍK, J.; OUŘEDNÍČEK, P.; JAN, J.

RIV year

2020

Released

07.10.2019

Publisher

IEEE

Location

Berlin, Germany

ISBN

978-1-5386-1312-2

Book

2019 41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

ISBN

1557-170X

Periodical

Proceedings IEEE EMBC

Volume

19

State

United States of America

Pages from

2407

Pages to

2410

Pages count

4

URL

BibTex

@inproceedings{BUT157840,
  author="Roman {Jakubíček} and Jiří {Chmelík} and Petr {Ouředníček} and Jiří {Jan}",
  title="Deep-learning-based fully automatic spine centerline detection in CT data",
  booktitle="2019 41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)",
  year="2019",
  journal="Proceedings IEEE EMBC",
  volume="19",
  number="19",
  pages="2407--2410",
  publisher="IEEE",
  address="Berlin, Germany",
  doi="10.1109/EMBC.2019.8856528",
  isbn="978-1-5386-1312-2",
  issn="1557-170X",
  url="https://ieeexplore.ieee.org/document/8856528"
}

Documents